CVDec 6, 2023

Make-A-Storyboard: A General Framework for Storyboard with Disentangled and Merged Control

arXiv:2312.07549v17 citationsh-index: 47
Originality Incremental advance
AI Analysis

This work addresses the challenge of visual coherence in story generation for applications like storytelling or film-making, though it appears incremental as it builds on existing image customization methods.

The paper tackles the problem of generating coherent visual storyboards by addressing the lack of inter-image consistency in current story visualization methods, proposing a framework that achieves improved story alignment, character consistency, and scene correlation.

Story Visualization aims to generate images aligned with story prompts, reflecting the coherence of storybooks through visual consistency among characters and scenes.Whereas current approaches exclusively concentrate on characters and neglect the visual consistency among contextually correlated scenes, resulting in independent character images without inter-image coherence.To tackle this issue, we propose a new presentation form for Story Visualization called Storyboard, inspired by film-making, as illustrated in Fig.1.Specifically, a Storyboard unfolds a story into visual representations scene by scene. Within each scene in Storyboard, characters engage in activities at the same location, necessitating both visually consistent scenes and characters.For Storyboard, we design a general framework coined as Make-A-Storyboard that applies disentangled control over the consistency of contextual correlated characters and scenes and then merge them to form harmonized images.Extensive experiments demonstrate 1) Effectiveness.the effectiveness of the method in story alignment, character consistency, and scene correlation; 2) Generalization. Our method could be seamlessly integrated into mainstream Image Customization methods, empowering them with the capability of story visualization.

Foundations

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